| 書目名稱 | Predictive Analytics in Cloud, Fog, and Edge Computing | | 副標題 | Perspectives and Pra | | 編輯 | Hiren Kumar Thakkar,Chinmaya Kumar Dehury,Bharadwa | | 視頻video | http://file.papertrans.cn/755/754570/754570.mp4 | | 概述 | Comprehensive guide to Cloud computing features and issues.Recent use cases and applications of Blockchain, IoT, and 5G.Current and emerging challenges of cloud, fog, and edge computing | | 圖書封面 |  | | 描述 | .This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing. The relationship will not be limited to only architecture proposal, trends, and technical advancements. However, the book also explores the possibility of predictive analytics in cloud computing with respect to Blockchain, IoT, and 5G. The recent advancements in the internet-supported distributed computing i.e. cloud computing, has made it possible to process the bulk amount of data in a parallel and distributed. This has made it a lucrative technology to process the data generated from technologies such as Blockchain, IoT, and 5G. However, there are several issues a Cloud Service Provider (CSP) encounters, such as Blockchain security in cloud, IoT elasticity and scalability management in cloud, Service Level Agreement (SLA) compliances for 5G, Resource management, Load balancing, and Fault-tolerance. This edited book will discuss the aforementioned issues in connection with Blockchain, IoT, and 5G..Moreover, the book discusses how the cloud computing is not sufficient and one needs to use fog computing, and edge c | | 出版日期 | Book 2023 | | 關鍵詞 | Machine Learning; Edge Computing; Fog Computing; Serverless Computing; Live VM Migration; Reinforcement L | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-18034-7 | | isbn_softcover | 978-3-031-18036-1 | | isbn_ebook | 978-3-031-18034-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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